ChapsVision Named Leader in 2025 SPARK Matrix for Enterprise AI Search

May 19, 2026
ChapsVision has been recognized as a leader in the 2025 SPARK Matrix for Enterprise AI Search by QKS Group. The ranking highlights the company's Sinequa platform and ChapsAgents orchestration layer for their secure and scalable AI search capabilities.

ChapsVision has been named a leader in the 2025 SPARK Matrix for Enterprise AI Search by QKS Group, announced in a press release. The evaluation ranks vendors based on technology excellence and customer impact.

The recognition highlights ChapsVision's Sinequa platform and its ChapsAgents orchestration layer, which together deliver secure and scalable AI search and agentic capabilities. The company said its platform supports enterprises in operationalizing their knowledge by grounding AI agents in governed and trusted data.

According to QKS Group, ChapsVision differentiates itself through hybrid retrieval, explainability, and compliance controls. The addition of ChapsAgents extends the platform beyond search to actionable outcomes by integrating retrieval augmented generation with enterprise security and monitoring systems.

The company’s AI stack includes over 200 secure connectors, support for 300 data formats, and governance features designed for large enterprise deployments. ChapsVision reports that its technology has achieved efficiency gains of up to fifteen times for customers managing significant document and user volumes.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.